Mazing Lens brings an AI-first lens to your ServiceNow platform, on any product you run, from a single module to your entire estate. We look at process, configuration, data and integration, check how ready you are for Now Assist and AI agents, then design the target state and roadmap, all aligned to ServiceNow best practice.
One ServiceNow product, for example CRM. Current state, AI readiness, gaps and use-case priorities, target design and roadmap.
Several related modules or a domain. Cross-module AI use-cases, roadmap, target and integration design, plan and business case.
Your entire platform. AI operating model and governance, data and AI foundation design, multi-year roadmap and value office.
Each step turns on the right AI features, governed centrally, so the value is real, not a vague future phase.
Incident, request, change
Discovery, events, AI ops
Hardware, software, cloud
Demand, projects, portfolios
Customer relationship workflows
Dispatch and field work
Employee service and cases
Workplace and spaces
Security incident and vuln
Risk, policy, compliance
Custom apps and integrations
AI agents across it all
We assess your as-is process, configuration, data, operating model and AI readiness.
Prioritised improvements and AI use-cases, aligned to best practice.
To-be processes, AI design, governance and the requirements to build.
A checkpoint to agree scope, timeline and cost for a smooth build phase.
An evidenced view of module health and AI readiness, and what to fix first.
Improvements and AI opportunities scored by value, ready to action.
To-be processes and Now Assist and AI-agent design, aligned to best practice.
Quantified value, investment and expected return to secure funding.
An incremental path from quick wins to scaled AI value.
Refined scope, timeline and cost, a de-risked run-up to build.
A ServiceNow AI readiness assessment establishes whether your platform, data and processes can support Now Assist and AI agents, and what it will take to get there. Mazing Lens reviews process, configuration, data quality and integration, then sets a target state and roadmap aligned to ServiceNow best practice. The output is framed as a business decision rather than a technical report: where AI will pay back, where it will not, and what has to be corrected first.
It depends on scope. A Module Lens covering one product runs about 4-6 weeks, a Domain Lens across several related modules 10-12 weeks, and a full Platform Lens across the entire estate 14-16 weeks. Each is fixed price, so the cost and the timeline are both known before the engagement starts.
You can start with a single module. Mazing Lens is scoped to your ambition – Module, Domain or Platform – so one product can be reviewed first and the scope extended once the value is demonstrated. The usual starting point is the area under the most cost, risk or capacity pressure, because that is where a recommendation converts into a funded decision fastest.
You receive a platform and AI readiness scorecard, a prioritised backlog of improvements and AI use cases, a target-state design, a board-ready business case, a maturity roadmap and an implementation plan. The business case is written to be taken into an investment committee, with costs, benefits, dependencies and sequencing already worked through.
Yes. Mazing Lens is a short, fixed-price advisory engagement designed to de-risk the platform before you commit to a build phase. It is deliberately separable from whatever follows – the recommendations stand on their own, and you are not committed to a delivery phase in order to act on them.